WHAT’S HAPPENING
Here’s what we’re thinking about, talking about, and working on.
SRI leadership and affiliates join global call for urgent AI cybersecurity safeguards
More than 400 academics from over 30 countries have signed an open letter calling for immediate changes to how artificial intelligence systems are developed, tested and deployed, with the aim of preventing cybersecurity incidents that could threaten critical infrastructure.
SRI researchers examine AI, care, and labour at 4S 2026
SRI researchers are presenting across nearly 30 sessions at 4S 2026, the world’s largest gathering of science and technology studies scholars, held this year in Toronto. From the political economy of AI to care, labour, surveillance and data justice, 22 members of our community are sharing work that asks who shapes technology—and who it serves.
From Toronto to Seoul: SRI researchers at ICML 2026
SRI researchers are heading to Seoul this July for ICML 2026, and they're arriving with a lot to share. Across 24 papers, seven position papers, and a co-organized workshop, 21 members of our community are presenting work spanning machine learning theory, AI safety, clinical AI, legal compliance, and more.
SRI researchers present work at ACM FAccT 2026
SRI researchers will present 13 accepted papers and one workshop session at FAccT 2026, showcasing the Institute’s research in responsible AI, algorithmic governance, alignment, privacy, and the impacts of socio-technical systems.
SRI releases new white paper on trust in human–AI interaction
AI is everywhere. But can we trust it? A new SRI white paper led by Beth Coleman reframes trust in AI as a multidisciplinary challenge—not just a technical one—and charts a path forward.
Karen Hao explores power, accountability, and the future of AI
As part of the CBC Ideas series, the Schwartz Reisman Institute welcomed journalist Karen Hao to the University of Toronto to discuss the political economy of AI development, the need for stronger accountability, and the importance of building alternative, less resource-intensive approaches to AI systems.
AI companions: Regulating the next wave of digital harms
From AI chatbots marketed as digital partners to voice assistants designed for intimacy, these systems promise connection while raising urgent questions about privacy, manipulation, and digital addiction.
Democracy rewired: SRI essay series explores safeguarding democratic values in the age of AI
In a new essay series, the policy team at the Schwartz Reisman Institute for Technology and Society examines AI’s impact on the values underpinning democratic societies and governance. The series explores how AI, if left unchecked, may impact democracy – offering both an opportunity to reaffirm democratic values and critically assess the role of AI governance and regulation.
Absolutely Interdisciplinary 2025 explores new frontiers in AI research
At SRI’s annual conference, participants discussed future directions and key challenges in AI research, including the complexities of aligning advanced AI with human values and interdisciplinary perspectives on AI safety.
Can a market-based regulatory framework help govern AI? New report weighs in
In April 2024, the Schwartz Reisman Institute for Technology and Society (SRI) hosted a workshop that brought together 33 high-level experts to explore the viability of regulatory markets. Over the course of the workshop, participants identified key challenges and worked through practical steps to move from theory to operationalization, laying the groundwork for a clear roadmap toward future governance. Their findings are captured in a new report (PDF) published today by SRI.
Are humans becoming obsolete? David Duvenaud on AI’s growing dominance
SRI Chair David Duvenaud’s op-ed in The Guardian explores the impact of AI on human relevance and suggests strategies for adapting to ensure we aren't outpaced in every area of society.
SRI graduate fellows explore the evolution of genomic language models
Can AI unlock the hidden rules of our DNA and revolutionize medicine? SRI Graduate Fellows Micaela Elisa Consens and Ben Li explore this question in a new commentary examining the potential of genomic language models to transform biomedical research.
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